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PhD course

Analysis of longitudinal data w. Stata

Course description

Language of instruction

English

Course content

Improve the ability of health researchers to analyses correlated data

Learning outcomes

Knowledge

After completion of the course the student should be able to:

  • Perform analyses of longitudinal data where each unit of observation is observed several times
  • Know alternatives with robust estimation of variances, random intercept and GEE

Skills

After completion of the course the student should be able to:

  • Analyze data with simple correlation structures
  • Restructure data from wide- to long-format
  • Perform relevant regression analyses with Stata

General skills

After completion of the course the student should be able to:

  • Understand when statistical analyses need to account for systematic correlation between observations

Specific terms

Pre-requirements

Basic knowledge on regression methods and familiarity with Stata is required, similar to HELSTA/MEDSTA + MEDSTA2 and MEDSTATA

Recommended previous knowledge

Own research experience

Form of assessment

Home examination

Pass/Fail

Who may participate

PhD

Addtional information

Supplementary course information

The students are required to have Stata available on their own PC, preferably a laptop that can be used during the course and for home work.

Contact

Department of Global Public Health and Primary Care

e-mail: studie@igs.uib.no

Course coordinator: Rolv Terje Lie

http://www.uib.no/en/persons/Rolv.Terje.Lie

Exam information